FUZZY MULTICRITERIA ASSIGNMENT FOR NOMINAL CLASSIFICATION: METHODOLOGY AND APPLICATION IN EVALUATION OF GREEK BANK'S ELECTRONIC PAYMENT RETAILERS

摘要

This paper presents a novel multicriteria procedure for nominal classification problems. Assignment of an action to a category is based on the comparison between action and category's least typical representative, which is considered as the category inclusion threshold. Evaluation is executed considering performance on evaluation criteria and calculation of a fuzzy inclusion relation for every action, generalizing preference relations model with concordance and nondiscordance concepts as used in ELECTRE methods. An application to a classification problem in banking is also presented in order to demonstrate its applicability to similar problems.